NARS (Non-Axiomatic Reasoning System) is a general-purpose reasoning system, coming from my study of Artificial Intelligence (AI) and Cognitive Sciences (CogSci). What makes NARS different from conventional reasoning systems is its ability to learn from its experience and to work with insufficient knowledge and resources. NARS attempts to uniformly explain and reproduce many cognitive facilities, including reasoning, learning, planning, etc, so as to provide a unified theory, model, and system for AI as a whole. The ultimate goal of this research is to build a thinking machine.
What is new:
- Artificial General Intelligence: A Gentle Introduction: a talk outline
- AGI-08: The First Conference on Artificial General Intelligence
- Aspects of Artificial General Intelligence (by Pei Wang and Ben Goertzel): general discussion of AGI
- Three Fundamental Misconceptions of Artificial Intelligence: common theoretical mistakes
- What Do You Mean by "AI"?: five different working definitions of AI
- From NARS to a Thinking Machine: the engineering plan of NARS
- My book on NARS (also as eBook, with freely accessible Front Matter and Back Matter)